More data, shrinking backup windows and less time for recovery are some of the challenges modern IT organizations face.

Commvault and Pure Storage have partnered to provide a solution to address these challenges. At the core of the solution is snapshot creation, management and replication with built-in disaster recovery and protection for your data. By having no effect on flash array storage performance, you can instantly recover your data in any volume with automated end-to-end protection.

Join this webinar to learn how to manage the complexity of "Oracle database sprawl" by taking full advantage of Pure Storage snapshots and CommVault IntelliSnap for management and recovery of snapshots in a consistent and practical implementation.

The Financial Services industry is no exception to the hype around Artificial Intelligence. Join our webinar and walk away with 10 lessons from our multiple experiences with AI engagements in the Financial industry.

Pure Storage presents how to simplify private cloud operations with FlashStackTM. During this presentation, Pure Storage will discuss the advantages of FlashStack including:

- Why clouds providers deploy disaggregated architecture and the benefits compared to hyper-converged
- Evergreen Storage as a Subscription
- Operational simplicity enabled by a no trade-off storage architecture
- How to meet the performance and availability needs of tier-1 workloads at they price point of tier-2 VMs simultaneously from a single platform
- How operational simplicity allows cloud admins to manage storage in a cloud infrastructure
- Discuss the depth of Pure's integrations with vSphere and Public Cloud providers

Data is the fuel for the modern enterprise. Yet most data is stored in silos, out of reach of analytics and AI applications. The storage industry is largely to blame for offering legacy solutions like data lake and data silos that lock them away. It’s time for the storage industry to step up and deliver a fresh architecture for the modern era. At Pure Storage, we call this new architecture, data hub. Listen in and learn more.

Learn the origin of big data applications, how new data pipelines require a new infrastructure toolset and why both containers and shared storage are the fundamental infrastructure building blocks for future data pipelines.

We will first discuss the factors driving changes in the big-data ecosystem: ever-greater increases in the three Vs of data volume, velocity, and variety. The data lake concept was originally conceived as a single location for all data, but the reality is that multiple pipelines and storage systems quickly lead to complex data silos. We then contrast the legacy Hadoop applications, which are built only for volume, and the next generation of applications, like Spark and Kafka, which solves for all three Vs. Finally, we end with how to build infrastructure to support this new generation of applications, as well as applications not yet in existence.

About the Speakers:

Ivan Jibaja, Tech Lead, Pure Storage Ivan Jibaja is currently a tech lead for the Big Data Analytics team inside Pure Engineering. Prior to this, he was a part of the core development team that built the FlashBlade from the ground-up. Ivan graduated with a PhD in Computer Science from the University of Texas at Austin, with a focus on systems and compilers.

The existing “Do-It-Yourself AI” solutions involve enterprises to procure, integrate, test and continuously perform maintenance of hardware and (open source) software - all by themselves. In the process, they lose valuable months to jumpstart their AI initiatives and underutilized their resources during this crucial phase.

In this session, you will get the best practices for the design and deployment of AI infrastructure, and learn how to build an AI platform that will deliver faster-time-to-insights and enable your data scientists to be more productive.

Ramnath is Senior Manager, Product Marketing for AI and Deep Learning at Pure. Previously, he worked as a Marketing Manager at Mellanox Technologies, leading the market development activities for "ABC" - AI, BigData & Cloud. Before that, he was the RDMA Solutions Evangelist and led Cloud & Big Data strategy at Emulex. Prior to joining Emulex, he worked in two of the most prestigious research labs in Europe - Brain Mind Institute at EPFL, Switzerland and Barcelona Supercomputing Center in Spain. He has 15+ publications in leading conference and journals.

Every organization wants to infuse the power of AI in its business. From development to production training, you need an end-to-end AI workflow that’s optimized for the rigors of deep learning, that offers predictable performance as your neural network models and datasets grow. Attend this session to get insights into use cases, best practices and architecture examples that can help you and your data science team get started now, accelerating your path from experimentation to business insights.

About the Speakers:
Tony Paikeday is the Director of Product Marketing for the NVIDIA Deep Learning Systems, responsible for the world's first portfolio of AI supercomputers for enterprise - NVIDIA DGX Systems. Tony was previously with VMware, managing product marketing for the Horizon 7 portfolio and focused on key enabling technologies, including GPU virtualization and software-defined data center. Prior to joining VMware, Tony was at Cisco, building its data center solutions marketing practice focused on desktop and application virtualization. Prior to Cisco, he held business development roles at Nortel working with enterprise and service provider accounts, after having started his career as a Manufacturing Engineer for Ford Motor Company. Tony holds an engineering degree from the University of Toronto.

Roy Kim joined Pure in 2017 as Director of Product Marketing for FlashBlade. Previously, Roy led product marketing at NVIDIA for deep learning, HPC, and enterprise analytics industries. Roy has Masters of Computer Science and Electrical Engineering and Bachelors of Science in Electrical Engineering from Massachusetts Institute of Technology.

Companies are facing increasingly complex IT landscapes, and testing needs to occur quickly and with consistency. Resource-intensive tasks, such as SAP system copy, clone, and refresh, can be complex and time-consuming – some customers report spending 3-5 days for one system copy. In this webinar, learn about a copy automation tool for SAP applications that incorporates more than 75% of all pre, copy and post functionality – and automates it. Whether for traditional SAP or SAP HANA, Pure Storage’s Copy Automation Tool (CAT) for SAP applications drives digital transformation with huge gains in productivity and cost savings, and is included with every Pure Storage FlashArray. In this webinar, you will learn:

- How some companies have saved up to 80 percent of time and budget when performing SAP landscape copy, clone, and refresh tasks, freeing up time to focus on increasing innovation

- How to simplify SAP copy functionality and gain flexibility through additional integration or customization, to speed SAP migrations, upgrades, and testing

- How to reduce risks by automating the refresh process, and reduce complexity through the use of this embedded tool

Join us for an informative look at the Converged Infrastructure and Hyper-Converged marketspace. Vaughn Stewart, VP of Technology from Pure Storage, will moderate this session and also share perspective on why you don’t need to compromise.

Third party analyst and Chief Scientist, Howard Marks of DeepStorage.Net, will also provide his eye-opening findings on the true costs of each of these solution stacks so you can make a more informed decision on what is best for your organization.

We believe that backing up and restoring your data should be fast and simple. Get the hard facts about how Pure Storage addresses best practices for data backup, restore, and long term data archiving.

We'll address how FlashBlade helps reduce the time for both backup and restore operations. We'll also dive into test results about FlashBlade in SQL server environments, as an archival tier for Rubrik and for granular recovery for Oracle databases, with Commvault® IntelliSnap® technology.

Pure Storage presents how to simplify private cloud operations with FlashStackTM. During this presentation, Pure Storage will discuss the advantages of FlashStack including:

- Why clouds providers deploy disaggregated architecture and the benefits compared to hyper-converged
- Evergreen Storage as a Subscription
- Operational simplicity enabled by a no trade-off storage architecture
- How to meet the performance and availability needs of tier-1 workloads at they price point of tier-2 VMs simultaneously from a single platform
- How operational simplicity allows cloud admins to manage storage in a cloud infrastructure
- Discuss the depth of Pure's integrations with vSphere and Public Cloud providers

The era of Artificial Intelligence is here. Enterprises face an extraordinary opportunity to innovate and lead. However, real-world AI initiatives are often stalled by scale-out storage infrastructure complexities.

In this webinar we’ll explore new approaches to enable AI-at-scale for enterprises, delivering time-to-insight in hours rather than weeks. We will also cover details and customer successes with AIRI™, the industry’s first complete AI-ready storage infrastructure, architected by Pure Storage® and NVIDIA® to extend the power of NVIDIA DGX™ systems.

NVIDIA, Pure Storage, and Datalogue would like to invite you to a joint session on how to harness the power of artificial intelligence and deep learning for your big data challenges. Telcos ingest a tremendous amount of data and AI can potentially unlock new insights faster than other traditional approaches.

Attendees will hear from industry experts on how the NVIDIA DGX Deep Learning Platform and Pure Storage FlashBlade reduces the complexity of building AI data pipeline. They will also share examples of how AI was deployed in real-world use cases and learning in these deployments. Datalogue will show how to get started in your AI journey, turning data into consumable data for the AI pipeline.

Artificial intelligence is fueling amazing innovation in many industries. However, AI and machine learning technologies remain a giant mystery for most data architects and IT experts. To capture the potential of AI, from learning how it works through helping to build some of the world’s most innovative AI systems, organizations need a partner that understands the nuts and bolts and that can provide a robust AI foundation.

During this unique webinar, you will discover how Pure has helped build and deploy some of the most advanced infrastructure for AI, including powerful AI supercomputers to systems for autonomous driving software. Join us as Pure shares the top five lessons learned in making AI initiatives successful in real-world deployments.

During this webinar, you will learn:

-How leading enterprises are building and deploying infrastructure for AI
-Why legacy assumptions about data lakes and applications no longer applies to AI
-Advantages and disadvantages of using cloud for AI

The shift to the cloud is modernizing government IT, but are agencies' storage models keeping up with that transition? When it comes to big data, the proper system is necessary to avoid major data bottlenecks and accessibility challenges, allowing agencies to get the right information to the right people at the right time. Flash storage is the latest technology that improves scale, speed, and efficiency of data storage. Join us for a panel discussion on the challenge of scale, increased demand for user-focused data management tools, and security and risk reduction with sensitive data.

Join us for an informative look at the Converged Infrastructure and Hyper-Converged marketspace.

Vaughn Stewart, VP of Technology from Pure Storage, will moderate this session and also share perspective on why you don’t need to compromise when it comes to your storage solution. Third party analyst and Chief Scientist, Howard Marks of DeepStorage.Net, will also provide his eye-opening findings on the true costs of each of these solution stacks so you can make a more informed decision on what storage and infrastructure models are best for your organization.

The explosion of unstructured data into data lakes from sources like machine-generated log files, social media feeds, and Internet of Things (IoT) sensors requires new analytics stacks to extract business value. Data Scientists are implementing and evolving these modern Big Data Analytics stacks to optimize, improve, and create value from their data lakes. Today, due to the limited flexibility and complexity of managing traditional storage, data scientists spend more time dealing with performance issues and managing storage instead of doing "data science". Watch this webinar to find out more about how to enable flexibility and agility of your data scientists by leveraging the scalability and high performance of the FlashBlade.

Attend this webinar to find out why and how Lifescript, one of the world's largest women's health care websites serving 10 million customers and a half billion emails monthly, has transformed their data centers with AppFlash from Actifio and Pure Storage.

Attend this webinar to find out why and how Lifescript, one of the world's largest women's health care websites serving 10 million customers and a half billion emails monthly have transformed their data centers with AppFlash from Actifio and Pure Storage.

View this on-demand webinar where the VP of IT from The Boston Globe discusses how his organization approaches IT, the challenges of delivering IT services without interruption, and how The Globe modernized its IT architecture. The discussion also includes details on the systems, including all-flash storage, that helped The Globe handle the many different variations of OS, databases, and platforms inherent to its complex infrastructure. You'll also hear real-world ways The Globe handled challenges so you may apply them to your IT and your business.

Splunk is not an IT experiment anymore – it’s a mission critical application. Thousands of organizations are gaining insight from their machine data and
transaction logs using Splunk. One of the greatest risks to any enterprise-
level deployment of Splunk is inadequate, under-sized, or non-performant
hardware. Organizations frequently try to repurpose existing – and often
aging – hardware for Splunk deployments. In most cases the hardware
only meets Splunk’s minimum specifications for IOPS and compute sizing.
The result can be an under-performant or non-performant Splunk solution,
leading to poor performance and unmet expectations.This session will detail how you can get get the most out of your Splunk environment using modern All Flash infrastructure, ensuring you maximize performance and efficiency.